EVENT - Tuesday
When6:00 PM - 9:30 PM
DSF Day 2 – Using complex data sets to understand user behaviour at Facebook
Data Science Festival Day 2 – Facebook (Ballot ticket only)
An evening at Facebook.
TICKETS HAVE NOW BEEN ALLOCATED TO THIS EVENT
Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for the Data Science Festival Event at Facebook on April 17th 2018, the ballot will be drawn by the 13th April 2018. Those randomly selected will then be e-mailed tickets for the event, with the joining details.
If you get an allocated ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable.
The Data Science Festival is the first of its kind as the only community-led, free to attend Data Science Festival in the UK.
6pm Guests arrive
6.30pm- MC – David Loughlan
6.35pm Speaker 1 – Joe Smith – Data Scientist- Product at Facebook
6.50pm Speaker 2 – Rob McInerney – Co-Founder and CEO – Intelligent Layer and IntelligentX Brewing Company
7.05pm Speaker 3 – Rosaria Silipo – Principal Data Scientist at KNIME
7.40 – 9pm Drinks food & networking
MC – David Loughlan
Speaker 1: Joe Smith – Data Scientist- Product at Facebook
Talk Title: Understanding how features are changing users’ behaviour without AB tests
Talk Abstract: At times, due to product constraints or necessity of features, it just isn’t possible to run split tests but we still need to understand how the products we build change user behaviour. By borrowing techniques from Econometrics, where we’re less able to directly control user experiences, we can find the lift in complex datasets and use this to make informed decisions.
Speaker 2: Rob McInerney – Co-Founder and CEO – Intelligent Layer and IntelligentX Brewing Company
Talk title: Using artificial intelligence to make everyday products better, one beer at a time
Talk Abstract: How can artificial intelligence be used to create a future without advertising and in which everyday products continually adapt? Join IntelligentX co-founder Dr. Rob McInerney as he shares how his company created a self-evolving beer brand that uses AI to optimise beer recipes using customer feedback, which Popular Science voted “the third greatest software innovation of 2016”.
Speaker 3: Rosaria Silipo – Principal Data Scientist at KNIME
Talk title: Hi! My name is Emil and I am a Teacher Bot.
Talk Abstract: I was built to answer your early questions on how to use KNIME. Pardon! I was built to point you to the right training material to help you answer your early questions on how to use KNIME. It was not so hard to build me. After all, you just needed a user interface – possibly web or speech based – for you to ask your question; a text parser for me to understand your question; a brain to find the right training material to answer your question; a user interface to provide the answer back; a nice to have – but not necessary – feedback option, on whether my answer was of any help.
The most complex part was, of course, my brain. Indeed, the definition of the training problem, the creation of a labelled data set, the building of a class ontology were not minor details in the whole project. Let’s just say that my brain works in sub-optimal conditions. While I am eager to learn, the lack of labelled datasets forces me to rely, at least partially, on human teaching via active learning.